Chapter 1 Tight Relaxations for Nonconvex Optimization Problems Using the Reformulation-Linearization/Convexification Technique (RLT)

Chapter 2 Exact Algorithms for Global Optimization of Mixed-Integer Nonlinear Programs

Chapter 3 Algorithms for Global Optimization and Discrete Problems Based on Methods for Local Optimization

Chapter 4 An Introduction to Dynamical Search

Chapter 5 Two-Phase Methods for Global Optimization

Chapter 6 Simulated Annealing Algorithms for Continuous Global Optimization

Chapter 7 Stochastic Adaptive Search

Chapter 8 Implementation of Stochastic Adaptive Search with Hit-and-Run as a Generator

Chapter 9 Genetic Algorithms

Chapter 10 Dataflow Learning in Coupled Lattices: An Application to Artificial Neural Networks

Chapter 11 Taboo Search: An Approach to the Multiple-Minima Problem for Continuous Functions

Chapter 12 Recent Advances in the Direct Methods of X-Ray Crystallography

Chapter 14 Experimental Analysis of Algorithms

Chapter 15 Global Optimization: Software, Test Problems, and Applications